Map data to a supervised or unsupervised SOM

Description

Usage

Arguments

A trained supervised or unsupervised SOM obtained from
functions som, xyf, or bdk.

newdata

Data matrix, with rows corresponding to objects.

whatmap

For supersom maps: the layers to take into
account.

weights

For supersom maps: weights of the layers that
are used for mapping.

scale.distances

whether to rescale distances per layer in the
case of supersom maps (default): if TRUE the maximal
distance of each layer equals one. If the absolute values of the
distances per layer should be used, this argument should be set to
FALSE. Note that in that case, when mapping the training
data, the result returned by map.kohonen will differ from the
mapping present in the map.

...

Currently ignored.

Value

A list with elements

unit.classif

a vector of units that are closest to the objects
in the data matrix.

dists

distances (currently only Euclidean distances) of the
objects to the units.